RELDIF

RELDIF (LET)

Library Function

Return the relative difference of two numbers.

The definition of the relative difference between X1 and X2 used by Dataplot is:
\( \mbox{Relative Difference} = \frac{|X1 - X2|} {\mbox{MAX}(|X1|,|X2|} \)

Dataplot also supports the alternative formula

\( \mbox{Relative Difference} = \frac{|X1 - X2|} {(X1 + X2)/2} \)

LET <y> = RELDIF(<y1>,<y2>)             <SUBSET/EXCEPT/FOR qualification>
where <y1> is a variable or a parameter;
            <y2> is a variable or a parameter;
            <y> is a variable or a parameter (depending on what <y1> and <y2> are) where the computed relative difference values are stored;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.

This syntax implements the first formula given above (the denominator is the maximum of the two values).

LET <y> = RELDIF2(<y1>,<y2>)             <SUBSET/EXCEPT/FOR qualification>
where <y1> is a variable or a parameter;
            <y2> is a variable or a parameter;
            <y> is a variable or a parameter (depending on what <y1> and <y2> are) where the computed relative difference values are stored;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.

This syntax implements the second formula given above (the denominator is the average of the two values).

LET A = RELDIF(14,10)
LET A = RELDIF(A1,A2)
LET X2 = RELDIF(X1,X4)
LET X2 = RELDIF(X1-4,X2+6)

None

None

RELERR	= Compute the relative error of two numbers.
PERCDIF	= Compute the percent difference of two numbers.
PERCERR	= Compute the percent error of two numbers.
MIN	= Compute the minimum of two numbers.
MAX	= Compute the maximum of two numbers.
ABS	= Compute the absolute value of a number.

Data Management

2010/12

 
LET X = SEQUENCE 0.1  0.1  3
LET Y1 = X**2
LET Y2 = X**(1/2)
LET Y3 = RELDIF(Y1,Y2)
SET WRITE DECIMALS 5
PRINT Y1 Y2 Y3
    

The following output is generated:

---------------------------------------------
             Y1             Y2             Y3
---------------------------------------------
        0.01000        0.31622        0.96837
        0.04000        0.44721        0.91055
        0.09000        0.54772        0.83568
        0.16000        0.63245        0.74701
        0.25000        0.70710        0.64644
        0.36000        0.77459        0.53524
        0.49000        0.83666        0.41433
        0.64000        0.89442        0.28445
        0.81000        0.94868        0.14618
        1.00000        1.00000        0.00000
        1.21000        1.04880        0.13321
        1.44000        1.09544        0.23927
        1.69000        1.14017        0.32533
        1.96000        1.18321        0.39631
        2.25000        1.22474        0.45566
        2.56000        1.26491        0.50589
        2.89000        1.30384        0.54884
        3.24000        1.34164        0.58591
        3.61000        1.37840        0.61817
        4.00000        1.41421        0.64644
        4.41000        1.44913        0.67139
        4.84000        1.48323        0.69354
        5.29000        1.51657        0.71331
        5.76000        1.54919        0.73104
        6.25000        1.58113        0.74701
        6.76000        1.61245        0.76147
        7.29000        1.64316        0.77459
        7.84000        1.67332        0.78656
        8.41000        1.70293        0.79751